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Performance of n-fold ensembled ms-C/L models. Both sample-based (a) and event-based (b) weighted F1 metrics improve substantially with the number of ensembled models, plateauing between 3–5 folds, while inference rate (pane c) decreases. (mean sd, n = 10).
